Applied AI Engineer who builds agentic, LLM-powered systems and ships them end to end.
MS in Applied Artificial Intelligence candidate at Purdue University Northwest. I design multi-agent pipelines (LangGraph), RAG systems, and production LLM integrations, then ship them end to end as full-stack web and native iOS apps.
- 🧠 Focus: agentic AI, LLMs, RAG, multi-agent systems
- 🛠️ Comfortable across: Python/PyTorch, TypeScript/React, and SwiftUI
- 🌱 Currently exploring: MLOps and production LLM systems
- 🤝 Open to: AI/ML Engineer and Software Engineer roles (2026 to 2027)
- 📫 Reach me: yasakhan1999@gmail.com
| Project | What it is | Stack |
|---|---|---|
| 📞 Speakeasy | Multilingual AI phone-call assistant. Non-English speakers complete real English phone tasks (bookings, orders, appointments) by voice or text in 12 languages | SwiftUI · Node · MCP · Gemini |
| 🔪 KillMyIdea · live | Adversarial startup validator. A multi-agent pipeline that researches real competitors and returns a KILL/SURVIVE verdict | LangGraph · Gemini · ChromaDB |
| 👗 Slaydar | Wardrobe agent that models your closet as governed data and roasts your habits using only verified stats | DataHub · Gemini · Next.js |
| ⚡ CircuitSim · live | Browser-based circuit simulator with a 3D canvas and a natural-language AI assistant | React · Three.js · Hono |
| 🌍 GlobalBuddy+ | Mentor-matching for international students. Top 5 at HackWithChicago 3.0, Microsoft Chicago | FastAPI · Neo4j · LangChain |
| 🎮 Respawnd | Video-game tracking and backlog app with a 3D landing page | Next.js · R3F · FastAPI |
Let's build something worth shipping.
